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Biased Survival Predictions When Appraising Health Technologies in Heterogeneous Populations.

Daniel GallacherPeter K KimaniNigel Stallard
Published in: PharmacoEconomics (2021)
The bias associated with heterogeneous populations suggests that NICE may need to be more cautious when appraising therapies and to consider model averaging or the separate modelling of subgroups when heterogeneity is suspected or detected.
Keyphrases
  • healthcare
  • public health
  • mental health
  • pulmonary embolism
  • single cell
  • genetic diversity
  • health information
  • free survival
  • human health
  • climate change
  • social media